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"MINING WARM DATA": Huma Mulji and Neha Choksi at Dhaka Art Summit 2016

Posted On:Tuesday, February 2nd, 2016 | by project88newsadmin

Huma Mulji and Neha Choksi
MINING WARM DATA
Curated by Diana Campbell Betancourt, Artistic Director,
Samdani Art Foundation
Bangladesh Shilpakala Academy, Dhaka Art Summit 2016
5-8 February, 2016

Chitra Ganesh & Mariam Ghani, 'Index of the Disappeared'. Card Catalog

Chitra Ganesh & Mariam Ghani, ‘Index of the Disappeared’. Card Catalog


“A warm data body is a portrait, not a profile; when a warm data body is erased, the real body remains intact. Warm data is easiest to define in opposition to what it is not: warm data is the opposite of cold, hard facts. Warm data is subjective; it cannot be proved or disproved, and it can never be held against you in a court of law. Warm data is specific and personal, never abstract. Warm databases are public, not secret. However, warm data can only be collected voluntarily, not by force; the respondent always has a choice — whether to answer or not, which questions to answer, on what terms she will answer, and if her answers will be anonymous. A warm database is distinguished from a corporate or government database not primarily by its interface or its underlying structure, but by the way its data is collected.” Mariam Ghani
Curated by Diana Campbell Betancourt, this exhibition includes features artists from Sri Lanka, Myanmar, Afghanistan, India, Pakistan, Tibet, Nepal, Bangladesh and their diaspora, the exhibition exposes subjective and emotional history radiating around Mariam Ghani and Chitra Ganesh’s new chapter of the “Index of the Disappeared,” produced by Samdani Art Foundation, Yale University Law School’s Schell Center for Human Rights and Creative Time Reports. Artists include Lida Abdul, Gazi Nafis Ahmed, Pablo Bartholomew, Neha Choksi, Hasan Elahi, Hitman Gurung, S. Hanusha, Maryam Jafri, Dilara Begum Jolly, Amar Kanwar, Huma Mulji, Nge Lay, Nortse, Tenzing Rigdol, Menika van der Poorten and Ritu Sarin & Tenzing Sonam.
MINING WARM DATA